Data Analysis And Visualization Using Python Analyze Data To Create Visualizations For Bi Systems
Dr. Ossama Embarak
Estado :
Novo
Vendido por
País de expedição : Reino Unido
Resumo
Ver tudo
Data Analysis And Visualization Using Python Analyze Data To Create Visualizations For Bi Systems
Chapter 1: Introduction to data science with python
1.1 What is data science? 1.2 Why Python?1.3 Python learning resources.1.4 Python environment and editors (Jupyter Notebook, Netbeans , etc)1.5 The basics of the python programming1.6 Fundamental python programming techniques 1.6.1 The Tabular data, and data formats1.6.2 Python pandas data science library 1.6.3 Python lambdas, and the numpy library. 1.6.4 Introduce the data...
Chapter 1: Introduction to data science with python
1.1 What is data science? 1.2 Why Python?1.3 Python learning resources.1.4 Python environment and editors (Jupyter Notebook, Netbeans , etc)1.5 The basics of the python programming1.6 Fundamental python programming techniques 1.6.1 The Tabular data, and data formats1.6.2 Python pandas data science library 1.6.3 Python lambdas, and the numpy library. 1.6.4 Introduce the data...
Data Analysis And Visualization Using Python Analyze Data...
Resumo
Data Analysis And Visualization Using Python Analyze Data To Create Visualizations For Bi Systems
Chapter 1: Introduction to data science with python
Chapter 1: Introduction to data science with python
1.1 What is data science?
1.2 Why Python?
1.3 Python learning resources.
1.4 Python environment and editors (Jupyter Notebook, Netbeans , etc)
1.5 The basics of the python programming
1.6 Fundamental python programming techniques
1.6.1 The Tabular data, and data formats
1.6.2 Python pandas data science library
1.6.3 Python lambdas, and the numpy library.
1.6.4 Introduce the data cleaning and manipulation techniques
1.6.5 Introduce the abstraction of the Series and DataFrame
1.6.6 Run basic inferential statistical analysis.
1.7 Exercises and answers
Chapter 2: The importance of data visualization in business intelligence
2.1 Shift from input to output data preference
2.2 Why Data visualization is important?2.3 How is the modern business needs Data visualization?
2.4 The future of Data Visualization
2.5 How data visualization is used for Business decision making
2.6 Introduce data visualization tchniques
2.6.1 Loading libraries
2.6.2 Popular Libraries for Data Visualization in Python
Matplotlib
Seaborn
Geoplotlib
Pandas
Plotly
2.6.3 Introduce Plots in Python
2.7 Exercises and answers
Chapter 3: Data collections structure
3.1 Lists
3.1.1 Create lists
3.1.2 Accessing values in lists
3.1.3 Add and update lists
3.1.4 Delete list elements
3.1.5 Basic list operations
3.1.6 Indexing, slicing, and matrices
3.1.7 Built-in list functions & methods
3.1.8 List methods
3.1.9 List sorting and traversing 3.1.10 Lists and strings
3.2 Parsing lines
3.3 Aliasing
3.4 Dictionaries
3.4.1 Create dictionaries
3.4.2 Updating and accessing values in dictionary
3.4.3 Delete dictionary elements
3.4.4 Built-in dictionary functions & methods
3.5 Tuples
3.5.1 Create tuples
3.5.2 Updating tuples
3.5.3 Accessing values in tuples3.5.4 Basic tuples operations
3.6Series data structure
3.7DataFrame data structure
3.8Panel data structure
3.9 Exercises and answersChapter 4: File I/O processing & Regular expressions
4.1File I/O processing
4.1.1Screen in/out processing
4.1.2Opening and closing files
4.1.3The file object attributes
4.1.4Reading and writing files
4.1.5Directories in python
4.2Regular expressions
4.2.1Regular expression patterns
4.2.2Special character classes
4.2.3Repetition cases
Alternatives
Anchors
4.3Exercises and answers
Chapter 5: Data gathering and cleaning
5.1 Data cleaning
Check missing values
Handle the missing values
5.2Read and clean csv file
5.3Data integration
5.4Read the json file
5.5Reading the html file
5.6Exercises and answers
Chapter 6: Data exploring and analysis
6.1Series data structure
6.1.1Create a series
6.1.2Accessing data from series with position
6.2DataFrame data structure
6.2.1Create a DataFrame
6.2.2Updating and accessing DataFrame
Column selection
Column addition
Column deletion
Row selection
Publicidade
Avaliações dos nossos clientes
Data Analysis And Visualization Using Python Analyze Data To Create Visualizations For Bi Systems
Sê o primeiro a dar
a tua opinião sobre este produto
Características
- Editora
-
Apress
- Idiomas
-
Inglês
- Data de lançamento
-
20/11/2018
- Peso
-
620,0
- Série/Edição Limitada
-
1st ed.
- EAN
-
9781484241080
Publicidade
Publicidade